Adaptive Metadata Manager vs. Azure Data Catalog

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Adaptive Metadata Manager
Score 6.0 out of 10
N/A
The Adaptive Metadata Manager product, from Adaptive in Aliso Viejo, comprises a number of configurable software components that provide an organization with eight core capabilities required to govern and improve data-driven business capability. These capabilities are: Data Lineage, Data Quality, Impact Analysis, Business Terminology, Business to Technical Traceability, Version Management, Change Approval Workflow, Stewardship, and Automated Harvesting & Stitching.N/A
Azure Data Catalog
Score 8.7 out of 10
N/A
Microsoft's Azure Data Catalog is an enterprise-wide metadata catalog designed to make data asset discovery straightforward, a fully-managed service that lets analysts. data scientists, and developers to register, enrich, discover, understand, and consume data sources.N/A
Pricing
Adaptive Metadata ManagerAzure Data Catalog
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Adaptive Metadata ManagerAzure Data Catalog
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Adaptive Metadata ManagerAzure Data Catalog
Considered Both Products
Adaptive Metadata Manager
Chose Adaptive Metadata Manager
I haven't used any other similar products and am unfamiliar with any other options. Speaking generally, Adaptive Metadata Manager's user interface is occasionally buggy and doesn't always allow for smooth navigation. It's easy to get lost in the myriad reports and sheets on …
Azure Data Catalog
Chose Azure Data Catalog
We considered alternative tools, but most of our infrastructure was already linked to Azure. Therefore, Azure Data Catalog seemed that integrating the location of our data would be easier and safer. An
Chose Azure Data Catalog
Azure Data Catalogue was chosen for
  • Microsoft's customer service and expertise
  • Experience with Azure Cloud Solutions
Chose Azure Data Catalog
To create cloud-native applications, we rely on Azure Data Catalog for data management. I believe it was better suited to our organization and maturity level regarding costs and onboarding procedures. We can get
Chose Azure Data Catalog
As an organization we use Azure platform heavily. Decision to user Azure Data Catalog was a no-brainer considering the easy at which we can integrate it with rest of the infrastructure we already have in place. UX/UI, the powerful data analytics engine was a huge plus. Support …
Chose Azure Data Catalog
I feel Azure Data Catalog was better suited for our industry and maturing level in terms of costs and onboarding processes in place. I also feel familiarity played a very big role in us choosing the platform over others. For enterprises, I would recommend AWS but not for …
Chose Azure Data Catalog
We selected Azure because of other Microsoft products in our ecosystem. The interface and ability to move items across applications like Teams made it easy to adopt. Azure Data Catalog also came highly rated for reliability. We were certain that with it, our people wouldn’t …
User Ratings
Adaptive Metadata ManagerAzure Data Catalog
Likelihood to Recommend
7.0
(0 ratings)
8.8
(0 ratings)
Usability
7.0
(0 ratings)
-
(0 ratings)
Support Rating
7.0
(0 ratings)
-
(0 ratings)
User Testimonials
Adaptive Metadata ManagerAzure Data Catalog
Likelihood to Recommend
Any team or organization with complex budgeting and financing could benefit from Adaptive Metadata Manager's ability to track, sort, organize, and analyze volumes of complex financial information. It's extremely valuable for our quarterly reforecasting exercises and lets us stay on track for our budgeting and accounting processes. As a budget manager, I get a detailed snapshot of my YTD expenses.
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Azure Data Catalog has helped our data governance and BI
efforts. It's an enterprise-level data dictionary that grows with our data
ecosystem. We build cloud-native apps with data management tools. And we get
insights quickly and with less overhead, and the drag-and-drop interface is one
of the best parts of it. Drag-and-drop is easy so that we can deliver quickly.
Visual effects make it more flexible. One thing to note is that working on it
requires some skill to maintain the integrity of all the components. Another
improvement would be lowering the licensing cost.
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Pros
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  • It's easy to use and implement.
  • Ownership of the data.
  • It's helpful for all businesses.
  • Policy on data preservation.
  • It can utilize various data sources.
  • Data management is secure and simple.
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Cons
  • Interface is occasionally buggy
  • Not always intuitive navigating between sheets
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  • We have been it for a while now and I do not see any major concerns with the product interms of UX/UI, product support and periodic releases
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Usability
It's a perfectly functional software but isn't intuitive right out of the box. With some training, it's easy to use.
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No answers on this topic
Support Rating
I haven't needed to use Adaptive Metadata Manager support.
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No answers on this topic
Alternatives Considered
I haven't used any other similar products and am unfamiliar with any other options. Speaking generally, Adaptive Metadata Manager's user interface is occasionally buggy and doesn't always allow for smooth navigation. It's easy to get lost in the myriad reports and sheets on occasion.
Read full review
To create cloud-native applications, we rely on Azure Data
Catalog for data management. I believe it was better suited to our organization
and maturity level regarding costs and onboarding procedures. We can get
insights quickly and with less work. Familiarity also played a role in our
choice. In general, I believe this product is worthwhile. But the IT
environment in which it will be deployed will impact this. Therefore, compared
to other tools on the market, Azure Data Catalog is the best option.
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Return on Investment
No answers on this topic
  • Less time spent on data searches.
  • Discovering, understanding and consumption of data sources is much easier.
  • We recover data from different locations from a central point.
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ScreenShots